Machine Learning & Predictive Analytics
Case Studies
Can the intake process for paper order forms be automated?
Invene created a HIPAA compliant application that uses computer vision to distinguish between orders and other faxes to create transformed data values that represent each order.
Can pharmacy inventory volume be predicted from purchasing patterns?
Invene established a model to predict pharmacy inventory volume based on segmented population data.
Can prices of medical procedures be estimated?
Invene improved existing pricing algorithms with machine learning and built many ETL jobs to automate medical procedure estimation.
Can the binding affinity for new drugs be algorithmically determined?
Invene invented an algorithm for analysis on polypeptide chains to determine small molecule binding affinity.
Can trillions of atoms for specific protein sequences be searched?
Invene created a machine learning algorithm that identified motifs of interest for SAR target identification.
Can health outcomes for a population with limited data be predicted?
Invene predicted health outcomes for low socioeconomic populations based on few-shot data.
How to communicate the contents of a vial in its constituent parts?
Invene built a tool that analyzed the contents of a tincture and displayed a chromatogram of the fluid's properties.
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